Example usage for org.apache.commons.math3.stat.descriptive.moment Kurtosis evaluate

Introduction

In this page you can find the example usage for org.apache.commons.math3.stat.descriptive.moment Kurtosis evaluate.

Prototype

@Override
public double evaluate(final double[] values) throws MathIllegalArgumentException 

Source Link

Document

This default implementation calls #clear , then invokes #increment in a loop over the the input array, and then uses #getResult to compute the return value.

Usage

From source file:com.facebook.presto.operator.aggregation.TestDoubleKurtosisAggregation.java

@Override
public Number getExpectedValue(int start, int length) {
    if (length < 4) {
        return null;
    }//from w ww  . ja  va2  s .c  o  m

    double[] values = new double[length];
    for (int i = 0; i < length; i++) {
        values[i] = start + i;
    }

    Kurtosis kurtosis = new Kurtosis();
    return kurtosis.evaluate(values);
}

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From source file:msi.gaml.operators.Stats.java

@operator(value = "kurtosis", can_be_const = false,
        // type = IType.LIST,
        category = { IOperatorCategory.STATISTICAL }, concept = { IConcept.STATISTIC, IConcept.CLUSTERING })
@doc(value = "returns kurtosis value computed from the operand list of values", special_cases = "if the length of the list is lower than 3, returns NaN", examples = {
        @example(value = "kurtosis ([1,2,3,4,5])", equals = "1.0") })
public static Double kurtosis(final IScope scope, final GamaList data) throws GamaRuntimeException {
    final Kurtosis k = new Kurtosis();
    final double[] values = new double[data.length(scope)];
    for (int i = 0; i < values.length; i++) {
        values[i] = Cast.asFloat(scope, data.get(i));
    }//from w w w.  java  2s  .co  m
    return k.evaluate(values);
}

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From source file:org.uclab.mm.icl.llc.AR.iar.AR_FeatureExtractor.java

/**
 * /* ww  w  .ja  va  2s.c om*/
 * @param values double array to get kurtosis
 * @return kurtosis of the input array
 */
public static double getKurtosis(double[] values) {
    Kurtosis ks = new Kurtosis();
    return ks.evaluate(values);
}

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